2024-03-28T21:55:31Z
https://niigata-u.repo.nii.ac.jp/oai
oai:niigata-u.repo.nii.ac.jp:00032167
2022-12-15T04:02:34Z
423:424:425
453:454
Model-based target classification using polarimetric similarity with coherency matrix elements
Umemura, Maito
Yamaguchi, Yoshio
Yamada, Hiroyoshi
Copyright(C)2019 IEICE
本文データは学協会の許諾に基づきJ-Stageから複製したものである
polarimetric synthetic aperture radar
polarimetric similarity
coherency matrix
PolSAR terrain classification
Polarimetric similarity is a parameter for measuring the similarity between two scattering mechanisms. In this paper, we propose a novel model-based target classification technique using a compensated polarimetric similarity parameter between two coherency matrices. In general, the ensemble average coherency matrix elements have magnitude imbalance, thus the contribution degree to the polarimetric similarity differs for each element. We illustrate how to compensate the contribution degree, and then the proposed method is tested on L-band fully polarimetric ALOS-2/PALSAR-2 data sets by using 4 theoretical scattering models (surface scattering, double-bounce scattering, volume scattering, and 22.5゚ oriented dihedral scattering). The classification results show that the new compensation scheme serves to better classification.
The Institute of Electronics, Information and Communication Engineers
2019-03
eng
journal article
http://hdl.handle.net/10191/51113
https://niigata-u.repo.nii.ac.jp/records/32167
info:doi/10.1587/comex.2018XBL0152
https://www.jstage.jst.go.jp/
http://www.ieice.org/jpn/trans_online/
21870136
IEICE Communications Express
IEICE Communications Express
8
3
73
80
https://niigata-u.repo.nii.ac.jp/record/32167/files/8(3)_73-80.pdf
application/pdf
4.1 MB
2019-09-10